DIGITAL PATHOLOGY IN OF MEDICAL LABORATORY PRACTICE. REVIEWT

Authors

  • O. E. Dudin Shupyk National Medical Academy of Postgraduate Education; CSD Medical Laboratory
  • O. P. Mintser Shupyk National Medical Academy of Postgraduate Education https://orcid.org/0000-0002-7224-4886
  • O. M. Sulaieva CSD Medical Laboratory

DOI:

https://doi.org/10.11603/mie.1996-1960.2020.3.11608

Abstract

Background. Digital pathology is an integral technological element of the research and diagnostic environment of Laboratories and plays an essential role in modern clinical practice. Implementation of the whole-slide digital images provided the ability to observe and share images between pathologists and specialists in other specialties.

Materials and methods. Results. The development of appropriate software and solutions for the storage and exchange of digital slides has determined the widespread use of digital pathology in the educational process in the training of cytopathologists, pathologists and molecular pathologists. The integration of digital drugs into the working processes of the pathology laboratory, improved machine learning algorithms have expanded the possibilities for the analysis of histological drugs, evaluation of the expression of biomarkers, interpretation of their clinical significance. At the same time, advances in machine learning have identified the synergy of artificial intelligence and digital pathology.

Conclusions. The synergy of artificial intelligence and digital pathology in diagnostics of cancers illuminates the possibility of integrating pathohistological data with the medical history, laboratory data, radiological examination and molecular genetic testing. These provide opportunities for advanced diagnostics and tailored treatment in line with personalized medicine goals.

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Published

2021-08-11

How to Cite

Dudin, O. E., Mintser, O. P., & Sulaieva, O. M. (2021). DIGITAL PATHOLOGY IN OF MEDICAL LABORATORY PRACTICE. REVIEWT. Medical Informatics and Engineering, (3), 41–50. https://doi.org/10.11603/mie.1996-1960.2020.3.11608

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Articles